[1]孔庆超,毛文吉,张育浩.社交网站中用户评论行为预测[J].智能系统学报,2015,10(3):349-353.[doi:10.3969/j.issn.1673-4785.201403019]
 KONG Qingchao,MAO Wenji,ZHANG Yuhao.User comment behavior prediction in social networking sites[J].CAAI Transactions on Intelligent Systems,2015,10(3):349-353.[doi:10.3969/j.issn.1673-4785.201403019]
点击复制

社交网站中用户评论行为预测

参考文献/References:
[1] TSAGKIAS M, WEERKAMP W, De RIJKE M. Predicting the volume of comments on online news stories[C]//Proceedings of the 18th ACM Conference on Information and Knowledge Management. New York, USA, 2009: 1765-1768.
[2] YANO T, SMITH N A. What’s worthy of comment? Content and comment volume in political blogs[C]//Proceedings of the Fourth International Conference on Weblogs and Social Media. Washington, DC, USA, 2010: 359-362.
[3] ZAMAN T, FOX E B, BRADLOW E T. A bayesian approach for predicting the popularity of tweets[J]. The Annals of Applied Statistics, 2014, 8(3): 1583-1611.
[4] HONG L, DAN O, Davison B D. Predicting popular messages in Twitter[C]//Proceedings of the 20th International Conference Companion on World Wide Web. New York, USA, 2011: 57-58.
[5] MA Haixin, QIAN Weining, XIA Fan, et al. Towards modeling popularity of microblogs[J]. Frontiers of Computer Science, 2013, 7(2): 171-184.
[6] JENDERS M, KASNECI G, NAUMANN F. Analyzing and predicting viral tweets[C]//Proceedings of the 22nd International Conference on World Wide Web Companion. Geneva, Switzerland, 2013: 657-664.
[7] FIGUEIREDO F. On the prediction of popularity of trends and hits for user generated videos[C]//Proceedings of the Sixth ACM International Conference on Web Search and Data Mining. New York, USA, 2013: 741-746.
[8] PINTO H, ALMEIDA J M, GONCALVES M A. Using early view patterns to predict the popularity of Youtube videos[C]//Proceedings of the Sixth ACM International Conference on Web Search and Data Mining. New York, USA, 2013: 365-374.
[9] KHOSLA A, DAS SARMA A, HAMID R. What makes an image popular?[C]//Proceedings of the 23rd International Conference on World Wide Web. Seoul, Korea, 2014: 1-10.
[10] CHENG J, ADAMIC L, DOW P A, et al. Can cascades be predicted?[C]//Proceedings of the 23rd International Conference on World Wide Web. Seoul, Korea, 2014: 925-936.
[11] YANO T, COHEN W W, SMITH N A. Predicting response to political blog posts with topic models[C]//Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Stroudsburg, USA, 2009: 477-485.
[12] TANG X N, YANG C C, ZHANG M. Who will be participating next? Predicting the participation of dark web community[C]//Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics. New York, USA, 2012: 1-7.
[13] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of Machine Learning Research, 2003, 3: 993-1022.
[14] LIU Xuying, WU Jianxin, ZHOU Zhihua. Exploratory undersampling for class-imbalance learning[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2009, 39(2): 539-550.
[15] CHAWLA N V, BOWYER K W, HALL L O, et al. SMOTE: Synthetic minority over-sampling technique[J]. Journal of Artificial Intelligence Research, 2002, 16: 321-357.
相似文献/References:
[1]王景丽,许立波,庞超逸.复杂网络中的在线社交网络演化模型[J].智能系统学报,2015,10(6):949.[doi:10.11992/tis.201507042]
 WANG Jingli,XU Libo,PANG Chaoyi.Evolution model of online social networks based on complex networks[J].CAAI Transactions on Intelligent Systems,2015,10():949.[doi:10.11992/tis.201507042]
[2]石磊,杜军平,周亦鹏,等.在线社交网络挖掘与搜索技术研究[J].智能系统学报,2016,11(6):777.[doi:10.11992/tis.201612007]
 SHI Lei,DU Junping,ZHOU Yipeng,et al.A survey on online social network mining and search[J].CAAI Transactions on Intelligent Systems,2016,11():777.[doi:10.11992/tis.201612007]
[3]花勇,陈伯伦,朱国畅,等.基于渗流模型的影响力最大化算法[J].智能系统学报,2019,14(6):1262.[doi:10.11992/tis.201906039]
 HUA Yong,CHEN Bolun,ZHU Guochang,et al.An influence maximization algorithm based on percolation model[J].CAAI Transactions on Intelligent Systems,2019,14():1262.[doi:10.11992/tis.201906039]
[4]熊尧,李弼程,王子玥.基于两级传播理论的舆论超网络传播分析[J].智能系统学报,2020,15(5):870.[doi:10.11992/tis.201903011]
 XIONG Yao,LI Bicheng,WANG Ziyue.Analysis of public opinions in network communication based on the two-level communication theory[J].CAAI Transactions on Intelligent Systems,2020,15():870.[doi:10.11992/tis.201903011]
[5]陈伯伦,朱国畅,纪敏,等.代价约束下基于随机游走的负影响力传播抑制方法[J].智能系统学报,2022,17(2):266.[doi:10.11992/tis.202101037]
 CHEN Bolun,ZHU Guochang,JI Min,et al.Negative influence propagation suppression method based on a random walk under cost constraint[J].CAAI Transactions on Intelligent Systems,2022,17():266.[doi:10.11992/tis.202101037]
[6]常新功,王金珏.基于图卷积集成的网络表示学习[J].智能系统学报,2022,17(3):547.[doi:10.11992/tis.202107048]
 CHANG Xingong,WANG Jinjue.Network representation learning using graph convolution ensemble[J].CAAI Transactions on Intelligent Systems,2022,17():547.[doi:10.11992/tis.202107048]

备注/Memo

收稿日期:2014-3-5;改回日期:。
基金项目:国家自然科学基金资助项目(61175040, U1435221).
作者简介:孔庆超,男,1987年生,博士研究生,主要研究方向为社会媒体信息分析与处理、数据挖掘. 毛文吉,女,1968年生,研究员,博士生导师,主要研究方向为智能信息处理、人工智能、社会计算.曾获国家科技进步二等奖,“吴文俊人工智能科学技术奖”创新二等奖,“中国自动化学会科学技术进步奖”一等奖,发表学术论文40余篇.张育浩,男,1989年生,博士研究生,主要研究方向为社会建模与计算.
通讯作者:毛文吉. E-mail: wenji.mao@ia.ac.cn.

更新日期/Last Update: 2015-07-15
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com